Mina Rezaei

According to our database, Mina Rezaei authored at least 37 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Bregman divergence for self-supervised representations learning.

Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi

Comput. Vis. Image Underst., October, 2023

Stochastic Vision Transformers with Wasserstein Distance-Aware Attention.

Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz

CoRR, 2023

AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments.

Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip H. S. Torr, Ashkan Khakzar, Kenji Kawaguchi

CoRR, 2023

Probabilistic Self-supervised Learning via Scoring Rules Minimization.

Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei

CoRR, 2023

Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning.

Amirhossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei

CoRR, 2023

A Dual-Perspective Approach to Evaluating Feature Attribution Methods.

Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei

CoRR, 2023

Young Humans Make Change, Young Users Click: Creating Youth-Centered Networked Social Movements.

Mina Rezaei, Patsy Eubanks Owens

CoRR, 2023

Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences.

Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei

Proceedings of the International Conference on Machine Learning and Applications, 2023

Neural Architecture Search for Genomic Sequence Data.

Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning.

Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Joint Debiased Representation and Image Clustering Learning with Self-Supervision.

Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei

CoRR, 2022

Evaluating User Experience in Literary and Film Geography-based Apps with a Cartographical User-Centered Design Lens.

Mina Rezaei, Patsy Eubanks Owens, Darnel Degand

CoRR, 2022

Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision.

Emilio Dorigatti, Jonas Schweisthal, Bernd Bischl, Mina Rezaei

CoRR, 2022

Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models.

Ashkan Khakzar, Yawei Li, Yang Zhang, Mirac Sanisoglu, Seong Tae Kim, Mina Rezaei, Bernd Bischl, Nassir Navab

CoRR, 2022

Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection.

Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl

CoRR, 2022

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation.

Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan D. Wegner, Konrad Schindler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep variational clustering framework for self-labeling large-scale medical images.

Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Bayesian uncertainty estimation for detection of long-tail and unseen conditions in abdominal images.

Mina Rezaei, Janne J. Näppi, Bernd Bischl, Hiroyuki Yoshida

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Joint Debiased Representation Learning and Imbalanced Data Clustering.

Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Deep Bregman Divergence for Contrastive Learning of Visual Representations.

Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi

CoRR, 2021

Learning Statistical Representation with Joint Deep Embedded Clustering.

Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl

CoRR, 2021

2020

Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation.

Mina Rezaei, Haojin Yang, Christoph Meinel

Multim. Tools Appl., 2020

Generative multi-adversarial network for striking the right balance in abdominal image segmentation.

Mina Rezaei, Janne J. Näppi, Christoph Lippert, Christoph Meinel, Hiroyuki Yoshida

Int. J. Comput. Assist. Radiol. Surg., 2020

Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.

Mina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Deep representation learning from imbalanced medical imaging

Mina Rezaei

PhD thesis, 2019

Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation.

Mina Rezaei, Haojin Yang, Konstantin Harmuth, Christoph Meinel

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networks.

Mina Rezaei, Haojin Yang, Christoph Meinel

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data.

Mina Rezaei, Haojin Yang, Christoph Meinel

CoRR, 2018

Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation.

Mina Rezaei, Haojin Yang, Christoph Meinel

CoRR, 2018

voxel-GAN: Adversarial Framework for Learning Imbalanced Brain Tumor Segmentation.

Mina Rezaei, Haojin Yang, Christoph Meinel

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Instance Tumor Segmentation using Multitask Convolutional Neural Network.

Mina Rezaei, Haojin Yang, Christoph Meinel

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Generative Adversarial Framework for Learning Multiple Clinical Tasks.

Mina Rezaei, Haojin Yang, Christoph Meinel

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Whole Heart and Great Vessel Segmentation with Context-aware of Generative Adversarial Networks.

Mina Rezaei, Haojin Yang, Christoph Meinel

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Deep Learning for Medical Image Analysis.

Mina Rezaei, Haojin Yang, Christoph Meinel

CoRR, 2017

Brain Abnormality Detection by Deep Convolutional Neural Network.

Mina Rezaei, Haojin Yang, Christoph Meinel

CoRR, 2017

A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor.

Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang, Christoph Meinel

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Deep Neural Network with l2-Norm Unit for Brain Lesions Detection.

Mina Rezaei, Haojin Yang, Christoph Meinel

Proceedings of the Neural Information Processing - 24th International Conference, 2017